Why has ICAI introduced this paper, Business Mathematics and Logical Reasoning & Statistics at the CA Foundation Level?

The CA profession provides career opportunities in various areas such as accounting, finance, auditing, taxation, etc. All these core subjects require fundamental understanding of quantitative aptitude, i.e., mathematics and statistics. These quant topics are not at an advanced level but at a basic level which you would have already studied at school and colleges

So, this paper helps CA students to get mathematically and logically (Quant) well equipped before they move towards next level of this course where more analytical capability will be required

What are the topics covered in Mathematics and Logical Reasoning & Statistics?

Business Mathematics and Logical Reasoning & Statistics is one paper of 100 marks divided into

Course Content Available

Available Lectures for Business Mathematics & Logical Reasoning & Statistics

Paper-3: Business Mathematics and Logical Reasoning & Statistics

Chapters

No. of Lectures

Part-A: Business Mathematics

Chapter 1: Ratio and Proportion, Indices, Logarithms

4

Chapter 2: Equations and Matrices

6

Chapter 3: Linear Inequalities

2

Chapter 4: Time Value of Money

6

Chapter 5: Basic Concepts of Permutations and Combinations

5

Chapter 6: Sequence and Series - Arithmetic and Geometric Progressions

3

Chapter 7: Sets, Functions and Relations

3

Chapter 8: Basic Concepts of Differential and Integral Calculus

9

Part-B: Logical Reasoning

Chapter 9: Number Series, Coding and Decoding and Odd Man Out

5

Chapter 10: Direction Tests

1

Chapter 11: Seating Arrangements

2

Chapter 12: Blood Relations

2

Chapter 13: Syllogism

6

Part-C: Statistics

Chapter 14: Statistical Description of Data

8

Chapter 15: Measures of Central Tendency and Dispersion

9

Chapter 16 : Probability

6

Chapter 17: Theoretical Distributions

6

Chapter 18: Correlation and Regression

7

Chapter 19: Index Number and Time Series

4

Series 2:

Chapter 1: Mission Alpha 0.05

2

Chapter 2: Statistical Description of Data

1

Chapter 3: Measures of Central Tendency & Dispersion

2

Chapter 4: Probability

2

Chapter 5: Theoretical Distributions

1

Chapter 6: Correlation and Regression Analysis

1

Chapter 7: Index Number

1

To empower every student aspiring to be a CA, CS or CMA to master all subjects in their curriculum and pass their exams at the first attempt with an easy to use tool which they can use to study anytime anywhere